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Advances in Knowledge Discovery and Data Mining

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Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks
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    Chapter 2 A Neural Joint Model for Extracting Bacteria and Their Locations
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    Chapter 3 Advanced Computation of Sparse Precision Matrices for Big Data
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    Chapter 4 Accurate Recognition of the Current Activity in the Presence of Multiple Activities
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    Chapter 5 Modeling Information Sharing Behavior on Q&A Forums
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    Chapter 6 Effective Multiclass Transfer for Hypothesis Transfer Learning
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    Chapter 7 Clustering Based on Dominant Set and Cluster Expansion
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    Chapter 8 Friend Recommendation Considering Preference Coverage in Location-Based Social Networks
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    Chapter 9 Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement
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    Chapter 10 Exploiting Location Significance and User Authority for Point-of-Interest Recommendation
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    Chapter 11 Personalized Ranking Recommendation via Integrating Multiple Feedbacks
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    Chapter 12 Fairness Aware Recommendations on Behance
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    Chapter 13 A Performance Evaluation Model for Taxi Cruising Path Recommendation System
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    Chapter 14 MaP2R: A Personalized Maximum Probability Route Recommendation Method Using GPS Trajectories
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    Chapter 15 SNE: Signed Network Embedding
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    Chapter 16 mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
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    Chapter 17 Partial Tree-Edit Distance: A Solution to the Default Class Problem in Pattern-Based Tree Classification
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    Chapter 18 A Domain-Agnostic Approach to Spam-URL Detection via Redirects
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    Chapter 19 Automatic and Effective Mining of Coevolving Online Activities
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    Chapter 20 Keeping Priors in Streaming Bayesian Learning
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    Chapter 21 Efficient Training of Adaptive Regularization of Weight Vectors for Semi-structured Text
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    Chapter 22 Behavior-Based Location Recommendation on Location-Based Social Networks
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    Chapter 23 Integer Linear Programming for Pattern Set Mining; with an Application to Tiling
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    Chapter 24 Secured Privacy Preserving Data Aggregation with Semi-honest Servers
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    Chapter 25 Efficient Pedestrian Detection in the Low Resolution via Sparse Representation with Sparse Support Regression
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    Chapter 26 Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text
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    Chapter 27 Fine-Grained Emotion Detection in Contact Center Chat Utterances
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    Chapter 28 Dependency-Tree Based Convolutional Neural Networks for Aspect Term Extraction
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    Chapter 29 Topic Modeling over Short Texts by Incorporating Word Embeddings
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    Chapter 30 Mining Drug Properties for Decision Support in Dental Clinics
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    Chapter 31 PURE: A Novel Tripartite Model for Review Sentiment Analysis and Recommendation
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    Chapter 32 Multi-View Matrix Completion for Clustering with Side Information
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    Chapter 33 Weighted NMF-Based Multiple Sparse Views Clustering for Web Items
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    Chapter 34 Parallel Visual Assessment of Cluster Tendency on GPU
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    Chapter 35 Clustering Complex Data Represented as Propositional Formulas
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    Chapter 36 Deep Bayesian Matrix Factorization
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    Chapter 37 Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases
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    Chapter 38 Utility Aware Clustering for Publishing Transactional Data
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    Chapter 39 Self-tuning Filers — Overload Prediction and Preventive Tuning Using Pruned Random Forest
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    Chapter 40 A Centrality-Based Local-First Approach for Analyzing Overlapping Communities in Dynamic Networks
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    Chapter 41 Web-Scale Personalized Real-Time Recommender System on Suumo
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    Chapter 42 Modeling Contextual Changes in User Behaviour in Fashion e-Commerce
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    Chapter 43 Weighted Ensemble Classification of Multi-label Data Streams
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    Chapter 44 Improving One-Class Collaborative Filtering with Manifold Regularization by Data-driven Feature Representation
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    Chapter 45 Stable Bayesian Optimization
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    Chapter 46 An Exponential Time-Aware Recommendation Model for Mobile Notification Services
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    Chapter 47 Discovering Periodic Patterns in Non-uniform Temporal Databases
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    Chapter 48 Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation
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    Chapter 49 Mining Recurrent Patterns in a Dynamic Attributed Graph
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    Chapter 50 SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases
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    Chapter 51 Multi-view Regularized Gaussian Processes
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    Chapter 52 A Neural Network Model for Semi-supervised Review Aspect Identification
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    Chapter 53 Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data
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    Chapter 54 Matrix-Based Method for Inferring Variable Labels Using Outlines of Data in Data Jackets
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    Chapter 55 Integrating Reviews into Personalized Ranking for Cold Start Recommendation
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    Chapter 56 Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation
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    Chapter 57 Understanding Drivers’ Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data
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    Chapter 58 Query-oriented Graph Clustering
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    Chapter 59 CCCG: Clique Conversion Ratio Driven Clustering of Graphs
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    Chapter 60 Mining Cohesive Clusters with Interpretations in Labeled Graphs
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    Chapter 61 A SAT-Based Framework for Overlapping Community Detection in Networks
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    Chapter 62 Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data
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    Chapter 63 Gradable Adjective Embedding for Commonsense Knowledge
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    Chapter 64 Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints
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    Chapter 65 A Generalized Model for Multidimensional Intransitivity
Attention for Chapter 42: Modeling Contextual Changes in User Behaviour in Fashion e-Commerce
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Chapter title
Modeling Contextual Changes in User Behaviour in Fashion e-Commerce
Chapter number 42
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Cham, May 2017
DOI 10.1007/978-3-319-57529-2_42
Book ISBNs
978-3-31-957528-5, 978-3-31-957529-2
Authors

Ashay Tamhane, Sagar Arora, Deepak Warrier

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Researcher 2 14%
Student > Master 2 14%
Professor 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 2 14%
Business, Management and Accounting 2 14%
Environmental Science 1 7%
Arts and Humanities 1 7%
Other 1 7%
Unknown 3 21%

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